Data analytics techniques have been gaining more space in the scientific environment with applications in various areas of knowledge, including education. This paper aims to analyse data taken from a questionnaire of ...
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Data analytics techniques have been gaining more space in the scientific environment with applications in various areas of knowledge, including education. This paper aims to analyse data taken from a questionnaire of the Organization for Economic Development Cooperation (OECD) given to teachers and school managers. In this questionnaire, school environment issues are assessed, specifically: school environment, professional development, school leadership, and efficient management. As a methodology, teaching and learning analytics (TLA) was used, particularly correlation analysis, which enables the extraction of useful information from raw data, relating issues that interfere with the teaching and learning relationship, besides specific analysis of student learning. The results obtained about the school environment are not linear. They do not present moderate or a solid linear correlation, making it impossible to validate and integrate answers related to the statements of the themes and sub-themes chosen for this analysis. In this sense, the research found dichotomous observations that mirrored many controversies and insecurities, enabling considerations about possible school scenarios and their effective practices.
Project-based learning (PjBL) is a promising approach for supporting learning of computer programming by addressing the gap between the attainment of abstract knowledge and the application of this knowledge to authent...
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ISBN:
(纸本)9781450349147
Project-based learning (PjBL) is a promising approach for supporting learning of computer programming by addressing the gap between the attainment of abstract knowledge and the application of this knowledge to authentic programming tasks. The World Wide Web has considerable potential to expand and improve PjBL environments. However, making implicit aspects of a programming task accessible to learners and instructors to support reflection and improvement can be challenging. This paper discusses the challenge of PjBL in programming education and outlines a set of key aspects and an analysis framework to inform design and analysis of PjBL programming in web-based environments, by exploiting the emerging field of teaching and learning analytics. Based on the proposed analysis framework, the design of an empirical study is outlined, capitalizing on a novel web-based PjBL environment that makes complex cognitive processes accessible and affords the analysis of its effects on learning programming in multiple aspects.
teachinganalytics (TA) is a new theoretical approach, which combines teaching expertise, visual analytics and design-based research to support teacher's diagnostic pedagogical ability to use data and evidence to ...
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teachinganalytics (TA) is a new theoretical approach, which combines teaching expertise, visual analytics and design-based research to support teacher's diagnostic pedagogical ability to use data and evidence to improve the quality of teaching. TA is now gaining prominence because it offers enormous opportunities to the teachers. It also identifies optimal ways in which teaching performance can be enhanced. Further, TA provides a platform for teachers to use data to reflect on teaching outcome. The outcome of TA can be used to engage teachers in a meaningful dialogue to improve the quality of teaching. Arguably, teachers need to develop their teacher data literacy and data inquiry skills to learn about teaching challenges. These skills are dependent on understanding the connection between TA, LA and learning Design (LD). Additionally, they need to understand how choices in particular pedagogues and the LD can enhance their teaching experience. In other words, teachers need to equip themselves with the knowledge necessary to understand the complexity of teaching and the learning environment. Providing teachers access to analytics associated with their teaching practice and learning outcome can improve the quality of teaching practice. This research aims to explore current TA related discussions in the literature, to provide a generic conception of the meaning and value of TA. The review was intended to inform the establishment of a framework describing the various aspects of TA and to develop a model that can enable us to gain more insights into how TA can help teachers improve teaching practices and learning outcome. The Tripartite model was adopted to carry out a comprehensive, systematic and critical analysis of the literature of TA. To understand the current state-of-the-art relating to TA, and the implications to the future, we reviewed published articles from the year 2012 to 2019. The results of this review have led to the development of a conceptual framewor
Science, Technology, Engineering and Mathematics (STEM) education is recognized as a top school education priority worldwide and Inquiry-based teaching and learning is identified as a promising approach. To effectivel...
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Science, Technology, Engineering and Mathematics (STEM) education is recognized as a top school education priority worldwide and Inquiry-based teaching and learning is identified as a promising approach. To effectively engage students in Inquiry tasks, appropriate guidance should be provided, usually by combining digital tools suchonline labs and modeling tools. This is a cumbersome task for teachers, since it involves manually assessing the type/level of tool-supported guidance to be provided and potentially refining these to meet guidance needs of individual students. in our research we target to investigate how to support this systematic reflection process with educational data analytics methods and tools from both the design and the delivery of Inquiry-based educational designs (IED). The contribution of this paper is to propose a novel "teaching and learning" analytics method and research prototype tool, extending the scope of purely learninganalytics methods, to analyze IED in terms of the tool-supported guidance they offer and relate these analyses to students' educational data that are already being collected by existing learninganalytics systems, increasing teachers' awareness. A two layer evaluation methodology positively assessed the capacity of our method to analyze IED and provided initial evidence that the insights generated offer statistically significant indicators that impact students' activity during the delivery of these IED. The insights of this work aim to contribute in the field of cognitive data analytics for teaching and learning, by investigating new ways to combine analyses of the educational design and students' activity, and inform teachers' reflection from a holistic perspective. (C) 2017 Elsevier Ltd. All rights reserved.
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